Prototyping a precision oncology 3.0 rapid learning platform

Autor:	Connor Sweetnam, Simone Mocellin, Michael Krauthammer, Nathaniel Knopf, Robert Baertsch, Jeff Shrager
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	Natural language processing Precision oncology Controlled natural language Nanopublication Treatment reasoning Rapid learning Computer applications to medicine. Medical informatics R858-859.7 Biology (General) QH301-705.5
Zdroj:	BMC Bioinformatics, Vol 19, Iss 1, Pp 1-19 (2018)
Druh dokumentu:	article
ISSN:	1471-2105
DOI:	10.1186/s12859-018-2374-0
Popis:	Abstract Background We describe a prototype implementation of a platform that could underlie a Precision Oncology Rapid Learning system. Results We describe the prototype platform, and examine some important issues and details. In the Appendix we provide a complete walk-through of the prototype platform. Conclusions The design choices made in this implementation rest upon ten constitutive hypotheses, which, taken together, define a particular view of how a rapid learning medical platform might be defined, organized, and implemented.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/a67d90bfb6cc4e8cb9fcb013b7ddc593 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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